Dataset Versions

v3

2023-10-02 6:18pm

Generated on Oct 2, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

Dataset Split

Train Set 93%
5028Images
Valid Set 4%
240Images
Test Set 3%
154Images

Preprocessing

Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -19° and +19°
Shear: ±20° Horizontal, ±18° Vertical
Grayscale: Apply to 19% of images
Blur: Up to 3.25px
Noise: Up to 6% of pixels